Senior Data Scientist

About the role

We’re seeking a Data Scientist to build personalized, high-impact digital experiences for millions of users. You’ll develop scalable, high-performance engineering applications that drive engagement and customer value. If you enjoy solving complex problems, working with data, and collaborating in a fast-paced environment, this is a great opportunity to make an impact.

About the team

Our team partners closely with retail and e-commerce business units to deliver innovative technology solutions that improve customer experiences across digital and in-store channels. Key focus areas include customer experience, store operations, merchant tools, data science, and search and personalization. We are focused on building end-to-end customer experience, from finding the product to delivering it to the customer. This will span many markets, business models, and form factors; therefore, we are looking for data scientists who will bring not only experience in technologies but also the curiosity and capability to innovate.

Come join an organization where you'll get to work as part of a world-class team, solve problems at a scale few can create, and build products bound only by the scope of your imagination. Put your footprint on ground-up development focused on building brand-new products that will impact a global customer base.

Responsibilities

• Develop and implement cutting-edge machine learning techniques, particularly in personalization and recommendation systems for conversational agents.
• Research and build advanced algorithms utilizing deep learning, reinforcement learning, Generative AI, and computer vision techniques.
• Collaborate with tech leads on top-down or bottom-up initiatives and priorities.
• Develop data models and iteratively improve them based on new data insights.
• Design and architect data models.
• Iterate, challenge, and accelerate best practices in personalization and item recommendations.

Requirements

• Master's degree/PhD in Data Science, Computer Science, or related fields with practical experience.
• Expertise in Machine Learning, Statistics, Generative AI, Personalization, and Item Recommendation algorithms.
• Experience in data science and building and evaluating large-scale machine learning & deep learning models.
• Experience in deploying highly scalable recommender systems; bonus domain - conversational agents.
• Curiosity in state-of-the-art techniques in recommendation-related areas.

Minimum Qualifications

• Option 1: Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics-related field.
• Option 2: Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics-related field.
• Option 3: 5 years' experience in an analytics or related field.

Preferred Qualifications

• Data science, machine learning, optimization models.
• Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics.
• Successful completion of one or more assessments in Python, Spark, Scala, or R.
• Using open-source frameworks (e.g., scikit-learn, TensorFlow, Torch).
• Background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.

About Walmart Global Tech

Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity experts, and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career.

Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions, and reimagine the future of retail.

Benefits

• Competitive compensation package with performance-based incentive awards.
• 401(k) match and stock purchase plan.
• Paid maternity and parental leave.
• Paid time off (PTO), including sick leave, holidays, and other purposes.
• Multiple health plans (medical, vision, dental).
• Company-paid life insurance.
• Short-term and long-term disability.
• Company discounts.
• Military Leave Pay.
• Adoption and surrogacy expense reimbursement.
• Live Better U: Walmart-paid education benefit program for full-time and part-time associates, covering tuition, books, and fees for high school completion, bachelor’s degrees, English Language Learning, and short-form certificates.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific plan or program terms.

Pay

The annual salary range for this position is $117,000 - $234,000. Additional compensation includes annual or quarterly performance bonuses and stock for certain positions.

Location

1395 Crossman Ave, Sunnyvale, CA 94089-1114, United States of America